Reconstructing gene regulatory networks from homozygous and heterozygous deletion data using Gaussian noise model
A transcription network is a large and complex network consisting of interacting elements that, over time, affect each other's state. The dynamics of complex gene regulatory processes are difficult to understand using intuitive approaches alone. To overcome this problem, many research studies h...
Saved in:
Main Authors: | Salleh, F.H.M., Arif, S.M., Zainuddin, S., Raih, M.F. |
---|---|
Format: | |
Published: |
2018
|
Online Access: | http://dspace.uniten.edu.my/jspui/handle/123456789/6879 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reconstructing gene regulatory networks from knock-out data using Gaussian Noise Model and Pearson Correlation Coefficient
by: Mohamed Salleh, F.H., et al.
Published: (2018) -
Multiple linear regression for reconstruction of gene regulatory networks in solving cascade error problems
by: Salleh, F.H.M., et al.
Published: (2018) -
Reconstruction of Large-Scale Gene Regulatory Networks Using Regression-based Models
by: Mohamed Salleh, F.H., et al.
Published: (2020) -
Co-inheritance of compound heterozygous Hb constant spring and a single -α 3.7 gene deletion with heterozygous δβ thalassaemia: A diagnostic challenge
by: Azma R.Z., Othman A., et al.
Published: (2017) -
Co-inheritance of compound heterozygous Hb constant spring and a single -α 3.7 gene deletion with heterozygous δβ thalassaemia: A diagnostic challenge
by: R.Z., Azma,, et al.
Published: (2015)